基于PPAR信号通路的子宫颈癌预后预测模型的建立与验证

IF 3.5 3区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL PPAR Research Pub Date : 2023-01-01 DOI:10.1155/2023/4962460
Yan Zhang, Xing Li, Jun Zhang, Lin Mao, Zou Wen, Mingliang Cao, Xuefeng Mu
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引用次数: 0

摘要

过氧化物酶体增殖物激活受体(PPAR)是一种配体激活的转录因子,可调节脂肪酸的摄取和转运。在一些研究中,癌细胞PPAR表达/活性的上调与癌症进展有关。在全球范围内,子宫颈癌在女性癌症中排名第四。血管生成抑制剂自5年前引入以来,改善了复发和晚期宫颈癌的治疗。尽管如此,晚期子宫颈癌的中位总生存率为16.8个月,表明治疗效果仍然不足。因此,开发新的治疗方法势在必行。在这项工作中,我们首先从之前的研究中下载了PPAR信号通路相关基因。此外,采用单样本基因集富集分析(ssGSEA)算法计算宫颈癌患者PPAR评分。此外,不同PPAR评分的宫颈癌患者对免疫检查点治疗的敏感性也不同。为了筛选这些基因作为宫颈癌患者的最佳生物标志物,我们构建了基于ppar的预后预测模型。结果显示,PCK1、MT1A、AL096855.1、AC096711.2、FAR2P2、AC099568.2不仅在PPAR信号通路中发挥关键作用,而且在宫颈癌患者中具有良好的预测价值。基因集变异分析(GSVA)富集分析也证明了PPAR信号通路是预后预测模型中富集程度最高的通路之一。最后,进一步分析表明AC099568.2可能是宫颈癌患者诊断、治疗和预后最有前景的生物标志物。生存分析和受试者工作特征曲线均显示AC099568.2在宫颈癌患者中起关键作用。然而,据我们所知,这是第一次有研究关注AC099568.2在宫颈癌患者中的作用。我们的工作成功揭示了一种新的宫颈癌患者生物标志物,也为今后的研究提供了新的方向。
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Development and Validation of the Promising PPAR Signaling Pathway-Based Prognostic Prediction Model in Uterine Cervical Cancer.

A ligand-activated transcription factor, peroxisome proliferator-activated receptor (PPAR) regulates fatty acid uptake and transport. In several studies, upregulation of PPAR expression/activity by cancer cells has been associated with cancer progression. Worldwide, cancer of the cervix ranks fourth among women's cancers. Angiogenesis inhibitors have improved treatment for recurrent and advanced cervical cancer since their introduction 5 years ago. In spite of that, the median overall survival rate for advanced cervical cancer is 16.8 months, indicating that treatment effectiveness is still lacking. Thus, it is imperative that new therapeutic methods be developed. In this work, we first downloaded the PPAR signaling pathway-related genes from the previous study. In addition, the single-sample gene set enrichment analysis (ssGSEA) algorithm was applied to calculate the PPAR score of patients with cervical cancer. Furthermore, cervical cancer patients with different PPAR scores show different sensitivity to immune checkpoint therapy. In order to screen the genes to serve as the best biomarker for cervical cancer patients, we then construct the PPAR-based prognostic prediction model. The results revealed that PCK1, MT1A, AL096855.1, AC096711.2, FAR2P2, and AC099568.2 not only play a key role in the PPAR signaling pathway but also show good predictive value in cervical cancer patients. The gene set variation analysis (GSVA) enrichment analysis also proved that the PPAR signaling pathway is one of the most enriched pathways in the prognostic prediction model. Finally, further analysis revealed that AC099568.2 may be the most promising biomarker for the diagnosis, treatment, and prognosis in cervical cancer patients. Both the survival analysis and Receiver Operating Characteristic curve demonstrated that AC099568.2 plays a key role in cervical cancer patients. However, to our knowledge, this is the first time a study focused on the role of AC099568.2 in cervical cancer patients. Our work successfully revealed a new biomarker for cervical cancer patients, which also provides a new direction for future research.

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来源期刊
PPAR Research
PPAR Research MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
6.20
自引率
3.40%
发文量
17
审稿时长
12 months
期刊介绍: PPAR Research is a peer-reviewed, Open Access journal that publishes original research and review articles on advances in basic research focusing on mechanisms involved in the activation of peroxisome proliferator-activated receptors (PPARs), as well as their role in the regulation of cellular differentiation, development, energy homeostasis and metabolic function. The journal also welcomes preclinical and clinical trials of drugs that can modulate PPAR activity, with a view to treating chronic diseases and disorders such as dyslipidemia, diabetes, adipocyte differentiation, inflammation, cancer, lung diseases, neurodegenerative disorders, and obesity.
期刊最新文献
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